On mathematical models of adaptive systems
作者:
HIROTOMO ASO,
MASAYUKI KIMURA,
期刊:
International Journal of Systems Science
(Taylor Available online 1974)
卷期:
Volume 5,
issue 11
页码: 1029-1038
ISSN:0020-7721
年代: 1974
DOI:10.1080/00207727408920159
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The aim of this paper is to present a mathematical model for a system to control an object favourably which is unknown for the system—an adaptive system. We make the concept of adaptiveness precise first and consider systems as stochastic sequential machines (SSM's) to answer the question : what kind of logical structure is necessary and sufficient for a SSM to be adaptive. Some necessary conditions for a SSM to be adaptive are shown, and for a specified class of SSM's, the necessary and sufficient conditions to be adaptive are given. Furthermore, some examples of adaptive SSM's are shown.
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